How to choose a thesis topic. Free ebook http://tinyurl.com/EngMathYT Choosing a thesis topic is really important. You want to get the right mix of ideas that matches your skills, interests and timeframe.

Ever wondered how I consume research so fast? I'm going to describe the process i use to read lots of machine learning research papers fast and efficiently. It's basically a 3-pass approach, i'll go over the details and show you the extra resources I use to learn these advanced topics. You don't have to be a PhD, anyone can read research papers. It just takes practice and patience.
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More learning resources:
http://www.arxiv-sanity.com/
https://www.reddit.com/r/MachineLearning/
https://www.elsevier.com/connect/infographic-how-to-read-a-scientific-paper
https://www.quora.com/How-do-I-start-reading-research-papers-on-Machine-Learning
https://www.reddit.com/r/MachineLearning/comments/6rj9r4/d_how_do_you_read_mathheavy_machine_learning/
https://machinelearningmastery.com/how-to-research-a-machine-learning-algorithm/
http://www.sciencemag.org/careers/2016/03/how-seriously-read-scientific-paper
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How do we exchange a secret key in the clear? Spoiler: We don't - Dr Mike Pound shows us exactly what happens.
Mathematics bit: https://youtu.be/Yjrfm_oRO0w
Computing Limit: https://youtu.be/jv2H9fp9dT8
https://www.facebook.com/computerphile
https://twitter.com/computer_phile
This video was filmed and edited by Sean Riley.
Computer Science at the University of Nottingham: https://bit.ly/nottscomputer
Computerphile is a sister project to Brady Haran's Numberphile. More at http://www.bradyharan.com

What is a blockchain and how do they work? I'll explain why blockchains are so special in simple and plain English!
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Modern cryptography is surprisingly powerful, yielding capabilities such as secure multi-party computation, computing on encrypted data and hiding secrets in code. Currently, however, some of these advanced abilities are still too inefficient for practical use. This research aims to continue expanding the capabilities of cryptography and its applications and bringing these advanced capabilities closer to practice.
In this talk, Stanford PhD. candidate, Mark Zhandry focuses on a particular contribution that addresses both of these objectives: establishing a shared secret key among a group of participants with only a single round of interaction. The first such protocols requires a setup phase, where a central authority determines the parameters for the scheme; unfortunately, this authority can learn the shared group key and must therefore be trusted. He discusses how to remove this setup phase using program obfuscation, though the scheme is very impractical due to the inefficiencies of current obfuscators. He then describes a new technical tool called witness pseudorandom functions and shows how to use this tool in place of obfuscation, resulting in a significantly more efficient protocol.
Mark Zhandry is a Ph.D. candidate at Stanford University
02/19/2015
https://www.cs.washington.edu/htbin-post/mvis/mvis?ID=2693
http://uwtv.org

A description of how to present your poster effectively, with examples. Created primarily with first-time poster presenters in mind.
Affiliated with web site http://www.ncsu.edu/project/posters/
(c) Copyright 2013 - all rights reserved

Jose Ortega - Python Security & Cryptography
[EuroPython 2015]
[22 July 2015]
[Bilbao, Euskadi, Spain]
The talk would aim to introduce cryptography and security from the
developer point of view, showing ways to encrypt information with
Python scripts and more sensitive information in web applications
using django.
I will introduce to security in python ,showing some libraries that
allow encryption and decryption like PyCrypto or M2Crypto,comparing
theses libraries with the cryptography module.At the same time,I will
show the main ciphers and hashing algorithms used in these libraries
like AES,DES,RSA and some examples illustrating each case.I wil show
other techniques like steganography for hiding information in
files(images,documents,programs) with some libraries like Stepic or
ezPyCrypto.
Finally,I will comment OWASP Python Security Project where we can find
some useful practices
and secure coding guidelines for detecting potential security
vulnerabilities in our applications like SQL injection or Cross-site
scripting.
**Slides**
[https://speakerdeck.com/jmortega/python-cryptography-and-security][1]
[1]: https://speakerdeck.com/jmortega/python-cryptography-and-security

Alan White, Professor of Biological Sciences and Associate Dean for Undergraduate STEM Education for the College of Arts and Sciences, and Hans-Conrad zur Loye, Associate Dean for Research
and David W. Robinson Palmetto Professor in the Department of Chemistry and Biochemistry, discuss how to write the Research Statement when applying for a tenure-track faculty job.

For more information, go to http://www.business-online-learning.com
And If you like my videos, check out this library: http://www.business-online-learning.com/business-training-library.html
Or for more training possibilities check out http://www.business-online-learning.com/free-downloads-and-resources.html
Mobile Learning on Problem Solving and the art of writing a problem statement. In 4 minutes you learn the skill of phrasing that great problem statement to get you half way to finding the solution.
Feel free to like & share!

What is RANDOM ORACLE? What does RANDOM ORACLE mean? RANDOM ORACLE meaning - RANDOM ORACLE definition - RANDOM ORACLE explanation.
Source: Wikipedia.org article, adapted under https://creativecommons.org/licenses/by-sa/3.0/ license.
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In cryptography, a random oracle is an oracle (a theoretical black box) that responds to every unique query with a (truly) random response chosen uniformly from its output domain. If a query is repeated it responds the same way every time that query is submitted.
Stated differently, a random oracle is a mathematical function chosen uniformly at random, that is, a function mapping each possible query to a (fixed) random response from its output domain.
Random oracles as a mathematical abstraction were firstly used in rigorous cryptographic proofs in the 1993 publication by Mihir Bellare and Phillip Rogaway (1993). They are typically used when the cryptographic hash functions in the method cannot be proven to possess the mathematical properties required by the proof. A system that is proven secure when every hash function is replaced by a random oracle is described as being secure in the random oracle model, as opposed to secure in the standard model of cryptography.
Random oracles are typically used as an ideal replacement for cryptographic hash functions in schemes where strong randomness assumptions are needed of the hash function's output. Such a proof generally shows that a system or a protocol is secure by showing that an attacker must require impossible behavior from the oracle, or solve some mathematical problem believed hard in order to break it.
Not all uses of cryptographic hash functions require random oracles: schemes that require only one or more properties having a definition in the standard model (such as collision resistance, preimage resistance, second preimage resistance, etc.) can often be proven secure in the standard model (e.g., the Cramer–Shoup cryptosystem).
Random oracles have long been considered in computational complexity theory, and many schemes have been proven secure in the random oracle model, for example Optimal Asymmetric Encryption Padding, RSA-FDH and Probabilistic Signature Scheme. In 1986, Amos Fiat and Adi Shamir showed a major application of random oracles – the removal of interaction from protocols for the creation of signatures.
In 1989, Russell Impagliazzo and Steven Rudich showed the limitation of random oracles – namely that their existence alone is not sufficient for secret-key exchange.
In 1993, Mihir Bellare and Phillip Rogaway were the first to advocate their use in cryptographic constructions. In their definition, the random oracle produces a bit-string of infinite length which can be truncated to the length desired.
According to the Church–Turing thesis, no function computable by a finite algorithm can implement a true random oracle (which by definition requires an infinite description).
In fact, certain artificial signature and encryption schemes are known which are proven secure in the random oracle model, but which are trivially insecure when any real function is substituted for the random oracle. Nonetheless, for any more natural protocol a proof of security in the random oracle model gives very strong evidence of the practical security of the protocol.
In general, if a protocol is proven secure, attacks to that protocol must either be outside what was proven, or break one of the assumptions in the proof; for instance if the proof relies on the hardness of integer factorization, to break this assumption one must discover a fast integer factorization algorithm. Instead, to break the random oracle assumption, one must discover some unknown and undesirable property of the actual hash function; for good hash functions where such properties are believed unlikely, the considered protocol can be considered secure.

The JVM is a remarkable piece of software that can do seemingly magical things with your code. Understanding these things is key to mastering the art of Java development allowing better and faster code that is easier to understand, test, and maintain. In this session, through a series of coding demonstrations, you will learn how to allocate standard Java objects on the stack rather than on the Java heap, how you should (and should not) test code performance, how to short-circuit Java Streams and gain massive performance, and how to create large aggregations Java collections such as List and Set without creating intermediary Java objects and holding terabytes of data in your JVM, without affecting garbage collection times.

A student colloquium I did at the MATH Institute, University of Copenhagen, 10th March 2017. It gives an overview of the definitions of Cryptography as well as an intuition into how and why we do Cryptography.
Special thanks to Martin Madsen for the excellent videoing.

Learn to Encrypt and Decrypt data on Android Applications with the Advanced Encryption Standard (AES) Algorithm.
Note that this tutorial has been made by Tamil for the SSaurel's Channel. If you want to collaborate on the SSaurel's Channel, don't hesitate to send me your ideas for further details.
► Discover all the Android Apps offered by SSaurel Mobile Apps : https://play.google.com/store/apps/dev?id=6924401024188312025
► Learn to create Android Apps step by step on the SSaurel's Blog : https://www.ssaurel.com/blog
► Enter in the Bitcoin and cryptocurrency World : https://www.toutsurlebitcoin.fr

Cryptography is about encrypting, decrypting, and sending messages! This video is not about explaining what cryptography is, but how it may be used in a security puzzle. How do you decrypt an encrypted message?
To get a better grasp on decryption, we've created these 2 challenges for you to try hands-on:
Try to find the keys yourself:
https://github.com/huyle333/encryption-tutorial
Allan's Twitter:
https://twitter.com/Allan_Wirth
For web security challenges, try (I kept the server up until February 2019. I will no longer host the server.):
http://ctf.slothparadise.com
Intro to Security CTFs:
https://www.youtube.com/watch?v=c92Cnb9_RSc
ASCII table:
http://www.ascii-code.com/
First Key: 3:07
Second Key: 4:47
Third Key: 14:07
Songs used:
https://soundcloud.com/a-emcee-muzik/distant-memories-final
Outro song: https://www.youtube.com/watch?v=ptu5ldfr3WA
►Blog: http://slothparadise.com
Consider supporting our group in making stuff:
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To encrypt a message can use the encryption (Playfair
Cipher) or encryption (Rail fence), this two way some
students they study it in network security so he will search for a
video, paper or book to understand way quick and clear . we do
video in araibc to expline this tow methods by easy and quick
way.

In this keynote dinner address at Princeton University's Turing Centennial Celebration, Andrew Appel talks about models of computation and systems of logic in the context of Turing, Gödel, and Church at Princeton during the 1930s. He is introduced by Rpbert Sedgewick, William O. Baker Professor of Computer Science at Princeton.
Appel is chair of the department of computer science and Eugene Higgins Professor of Computer Science at Princeton. He is the editor of a new imprint of Alan Turing's thesis, published by Princeton University Press:
http://press.princeton.edu/titles/9780.html
www.princeton.edu/turing
#turingprinceton

This is a guide to using YubiKey as a SmartCard for storing GPG encryption, signing and authentication keys, which can also be used for SSH. Many of the principles in this document are applicable to other smart card devices.
Keys stored on YubiKey are non-exportable (as opposed to file-based keys that are stored on disk) and are convenient for everyday use. Instead of having to remember and enter passphrases to unlock SSH/GPG keys, YubiKey needs only a physical touch after being unlocked with a PIN code. All signing and encryption operations happen on the card, rather than in OS memory.
https://github.com/drduh/YubiKey-Guide
I forgot to mention how to set up the touch feature of the yubikey, here are the commands:
$ ykman openpgp touch aut on
$ ykman openpgp touch sig on
$ ykman openpgp touch enc on
Get Tails:
https://tails.boum.org/
Get a Chaos Key:
https://altusmetrum.org/ChaosKey/
Get at least 1 Yubikey:
https://www.yubico.com/store/
Get at least 3 USB sticks.
If you learned something valuable, donate Bitcoin to Max: 3DqEnU6dW6bZesrVdThrrQjQKgN7dpY5vv https://tallyco.in/HillebrandMax
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Check out the GPG series by 402 Payment Required:
https://www.youtube.com/playlist?list=PLmoQ11MXEmajkNPMvmc8OEeZ0zxOKbGRa
Listen to WCN Audio Podcasts:
https://itunes.apple.com/us/podcast/the-world-crypto-network-podcast/id825708806
Check out the brand new http://WorldCryptoNetwork.com/
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Follow WCN on Twitter:
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Contribute to Max’s Bachelor Thesis on Multi Signature in Lightning Network Payments:
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Bitcoin to the Max:
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Read Rothbard ~ Use Bitcoin:
https://youtube.com/playlist?list=PLPj3KCksGbSafpOorg0NdeVXGIPNqV_8a
Open Source Everything:
https://youtube.com/playlist?list=PLPj3KCksGbSb1h33FZbsrtr1feIIwTBHt
Hackers Congress Paralelni Polis 2018:
https://youtube.com/playlist?list=PLPj3KCksGbSY8xt-x-KoDb6L380odP_qu
Baltic Honeybadger 2018:
https://youtube.com/playlist?list=PLPj3KCksGbSZsgH48ZDxNdzRXbg_pvMnz
Nodl Personal Bitcoin Assistant:
https://www.youtube.com/playlist?list=PLPj3KCksGbSYvbhhUpIehNqnXFLkz1AD1
Bisq Decentralized Exchange:
https://youtube.com/playlist?list=PLPj3KCksGbSZR33X7kJmDMwIEH-wrrpCJ
ColdCard Wallet:
https://youtube.com/playlist?list=PLPj3KCksGbSZJzC4besvtu8CSroBosrdt
Purism:
https://youtube.com/playlist?list=PLPj3KCksGbSZm6k6GlJRhY6T7wSvoEWbG
Bitcoin Op Tech Newsletter:
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What Has Government Done to Our Money? By Murray Rothbard: https://youtube.com/playlist?list=PLPj3KCksGbSbPVUAhYqILAYQ3uUbh2zOu
Mises University:
https://youtube.com/playlist?list=PLPj3KCksGbSanfYiAp8JSHxIjBm66yPf5
Hayek Summer Workshop:
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A bad PowerPoint presentation can be confusing, annoying, and boring. In this video, I'll give you my best tips for using PowerPoint in your presentations, whether they are for work or school. I'll talk about what makes a good presentation and what can ruin your presentation. You'll also learn how to use fonts, templates, and color to improve your slides. Do you know how much information to put on each slide? I'll answer that question and many more in this tutorial on using PowerPoint! Take a quiz on this video at http://www.engvid.com/how-to-give-the-best-powerpoint-presentation/
For more free presentation help, including advice for English learners gving presentations in English, go to http://www.presentationprep.com/
TRANSCRIPT
Do you have to make presentations? Do you hate presentations? I like presentations, but one thing that you are probably maybe good at with presentations are making PowerPoint presentations, because you have visual aids to help you so you don't really have to talk as much, if you're nervous about talking. Presentation skills is something that you can work on. We have videos on www.engvid.com to help you with presentation skills. So, go and check those out for learning how to speak during presentations.
But what we're going to focus on today is the visual aspect of presentations, so your PowerPoint things. Some things to do, and some things not to do. So, here we are, presentation skills. The first thing and one of the things that makes these presentations so fun are pictures. But we have to be careful. The templates that you have already included in your presentation software, they're boring. People use them all the time. So, I suggest you try and download some other pictures to make your presentation more interesting. And with that, make sure that on one slide you have one image. Make it interesting.
Do not have a split screen. So, don't have two images on one slide. Do not have a collage, that's insane. A collage is many different small pictures on one screen. Even when I see a collage, there's a lot of collages coming out on Facebook now, and I'm like: "Too many pictures. Can't understand." Our brains just cannot comprehend all those pictures, especially when you're having the slide up for a short period of time. Don't make it like a photo album. Don't put millions and seven pictures, and... Keep it simple. Put a single image on each slide. Try and pick images that you actually like, and not too distracting. You don't want puppy dogs and things. Make something simple, but something that you like, and make sure it looks nice.
The next one you have to worry about is the lettering. So, the lettering, you also might know this as the font. So, font and lettering are the same. One thing that you do not want to do is have really fancy or beautiful lettering. Simply... The reason is some people can't read when the letters are fancy, especially if you are doing presentations for people whose... Do not have English as their first language, if you take the letters and you write them even cursive, a lot of people have problems reading cursive. So, I suggest you use something more traditional. There's lots of very easy-to-read fonts you can get from your... Whatever word processing you use. So, make it simple, easy to read.
Another problem that you might have is the script is too big or too small. So remember that when you're making your presentation, you're doing it probably on your laptop, or your desktop, or your iPad, or your phone, so the font or the lettering is going to be different than when you put it up on the projector. So if at all possible if you can, check it out before you do the presentation. Look at your... Hook up your laptop or whatever, and see if you can actually see it on the screen because the font is different. You might think that on your laptop it's a good size, but when it gets on the projection screen, it's tiny; or it takes up too much space and it's too big.
Next up are the words or the text. So, there's been studies done on how many lines of text a human can absorb or understand, and any more than six, you've lost the people. So, try and keep on each slide one very simple image, with very traditional clear text, and put only two or three lines on each slide. Don't put bullet points. If you have more than six lines or if you have bullet points, again, we just... We just can't remember them all. We just lose focus. We have something called too much information, too much info, TMI. "Too much information" means that if you have more than two or three lines, we're just not getting it. Our brain can't... We just can't learn it like you want us to.

Today Session on
Wired Cum Wireless Networks using ns2.
You can watch the following lecture before understanding this lecture.
Watch Wireless Networks - https://www.youtube.com/watch?v=ws6kCbhdrWw
Watch Wired Networks -
https://www.youtube.com/watch?v=FS0jnfNCwBA
https://www.youtube.com/watch?v=1_KeTTFsrt0
Number of Wireles snodes is 7
Wired nodes - 2
Accesspoint or Base Stations - 2
this example is already avaialble in tcl/ex folder.
The same example I have taken but modified to my design...
How to generate Scenario and Traffic generation (connection Pattern)
To generate the connection pattern, here is the steps
Open the terminal and go to the folder
$] cd /home/pradeepkumar/ns-allinone-2.35/ns-2.35/indep-utils/cmu-scen-gen
and run this command
$] ns cbrgen.tcl -type tcp -nn 7 -seed 1 -mc 20 -rate 0.001
for 7 nodes, type of traffic is TCP, random seed is 1, maximum connection is 20 and the rate is 1ms or 0.001 and the output is sent to tcpgen.tcl
next is how to generate the scenario... this is very important
Go to the folder in the terminal.
$] cd /home/pradeepkumar/ns-allinone-2.35/ns-2.35/indep-utils/cmu-scen-gen/setdest
$] ./setdest -v 2 -n 7 -s 1 -m 5 -M 20 -t 250 -P 1 -p 1 -x 670 -y 670
ALL THE THREE FILES should STAY in the SAME FOLDER
namely
tcpgen.tcl
scene-7
and this file wandw.tcl
How to run this file
$] ns wandw.tcl
To Process the trace file, use the software APP Tool MAster
check my website https://www.nsnam.com for more instructions.
APP Tool Master. Check the Link here
https://www.nsnam.com/2014/11/app-tool-for-analysing-tracefiles-for.html
Thanks for watching this video, subscribe and share.
Download the Source Code from here
https://drive.google.com/drive/folders/1enTRgeIJAJo5w1VphCDrl4hrQUWy1rZy?usp=sharing
#wiredandWireless #ns2

Transcript:
I'm Daniel Helman, a doctoral student at Prescott College. I've been asked to say a little bit about what I study and where my doctoral research is going.
The world we inhabit looks to the future. We hope and dream—for peace—for success in fighting climate change—for women's rights to be realized more strongly. We live in a forward-thinking world, one in which anything is possible.
For example, we will find living organisms on other planets, and that is likely. Already the building blocks of life are present in volcanic fumaroles on the Moon and Mars. For example, we will invent living machines, and that is likely. Already humans who are paralyzed use a computer relay to help the brain communicate with the body. Think about that. We will be living in a new world, a world where moral questions will need a stronger philosophical basis.
In both of these examples, extraterrestrial and human, we know what we mean by “living organism.” We have clear ideas. And scientists, even, have clear ideas. Unfortunately, there is no official definition for life. There is no International Commission for the Verification of Life to house such a definition. Even though you know what living means, and others do as well, these are all ad hoc definitions.
That's my dissertation work. I aim to survey various astrobiologists, planetary scientists and computer scientists to see what their ideas are—what they conceive of as a definition for life. And, in so doing, I hope to encourage them to go to an academic society that they belong to—whether in the natural or computational sciences—and actually propose that that society curate an official definition for life. For myself, I'm attending conferences on this topic and am working on my professional skills. I'll be developing a questionnaire and a follow up. I'll be networking and helping others develop their own ideas. And I'll be looking into the larger implications. Where does consciousness come from in systems? What kinds of things can be coded and copied in non-living systems and yet have them remain non-living? What are the results of taking physical reality as a source of raw materials to consume and what does science have to say about this? Thank you very much.
Note: This video is intended primarily for my (potential) PhD Committee and fellow classmates, but it is suitable for the general public.

This video demonstrate the process of image encryption using elliptical curve cryptography. The complete code for it is available at https://free-thesis.com/product/image-encryption-decryption-using-ecc/. This is the code which simulates the encryption and decryption of an image using random and private keys in MATLAB. The elliptic curve cryptography is applied to achieve the security of any image before transmitting it to some one so that no other can see the data hidden in the image. At the receiver end the destined user will already have the decryption key used for this. If key is altered, image will not be decrypted.

Literature Review is art to present your topic from top to toe information of your topic. Chose a eye catching self explanatory title to your topic. Write a very brief well explained Abstract. Abstract should state whole story of your paper. Provide more information using table, chart, graph in less space.
For English click on the given link
https://youtu.be/l91Fj6PEjrE

Proof by diagonalization that there are uncomputable functions; introduction to complexity theory, big-Oh notation, definition of worst-case for a non-deterministic. Turing machine; definition of the classes P and NP.

HERE IT IS POSSIBLE TO DOWNLOAD SOFTWARE https://yadi.sk/d/1sOY9jmY3NGmaK It is possible andhttps://mega.nz/#F!1yQUwaZb!AP7PVj0sZgJKiDrvo2ZHog Help can also be obtained on http://ouo.io/1aFvc All information topic here Visual c ++ redistributable required to work. http://ouo.io/5QNKbH

Barbara Liskov, Professor of Electrical Engineering and Computer Science
at the Massachusetts Institute of Technology, discusses "Programming the Turing Machine" in a lecture given on the occasion of Princeton University's centennial celebration of Alan Turing. Learn more at www.princeton.edu/turing
#turingprinceton

Title: Mechanics of Barrette and Combined Pile-Raft Foundation Systems for Super Tall Towers - Theory and Practice
Abstract:
A significant number of super tall towers in the recent decades are constructed around the world and in particular in the Middle East region, where the foundations derive strength from soil or weak and weathered carbonate rocks. In this study by highlighting the significant use of both combined pile-raft foundation (CPRF) system and barrette foundations across the globe including the effectiveness during earthquake conditions, theoretical geomechanics of the problem are handled with practical pplications. The design of foundation system for the proposed 100 story HDS tower, Dubai, to be constructed within a footprint area of about 90m by 60m, is presented in detail. Foundation design for the tower was a challenge due to the requirement to transfer heavy foundation loads of 45 to 55 MN per pile to the weak carbonate rocks within the limited footprint area. Barrette foundations are efficient alternative to bored cast in situ piles which for the same volume of concrete, offer significantly higher bearing capacity. The foundation design using barrettes were compared against design of large diameter bored piles and barrette of size 1.2m x 2.8m with an equivalent pile diameter of 2.07 m is found to have 23% more perimeter there by generating higher friction capacity for the same volume of concrete. This lead to selection of economical and stable Barrette foundations, resulting in significant savings in time and cost.
Speaker Bio:
Prof. Deepankar Choudhury, Institute Chair Professor of IIT Bombay, Mumbai, India and Adjunct Professor of Academy of CSIR laboratories (AcSIR), India, served as faculty member of various other IITs of India, viz, IIT Kanpur, IIT Gandhinagar, IIT Dharwad and as Visiting fellow/faculty of NUS Singapore, UC Berkeley USA, Univ. of Wollongong Australia, Kagoshima University Japan, TU Darmstadt Germany, Incheon National University Korea. Always a Gold medallist in academics, he is an elected fellow (FNASc) of the oldest science academy of India viz. The National Academy of Sciences India (NASI), and fellow of other organisations, FIE, FIGS, FISET. Internationally Prof. Choudhury is Alexander von Humboldt Fellow of Germany, JSPS Fellow of Japan, TWAS-VS Fellow of Italy and received IACMAG Prof. C. S. Desai Medal, IACMAG Excellent Regional Contributor Award and Best ASCE Journal paper awards etc. His area of research includes Geotechnical earthquake engineering, foundation engineering, computational geomechanics etc. His text book and design manual in the area of foundation engineering and NPTEL video courses are extremely popular across the globe. His research works are published in more than 200 technical papers including over 130 cited journal papers. His developed methods for earthquake resistant design of foundation systems are widely used in the industry for various field applications and projects across the globe. He has already supervised 21 PhDs thesis, some of which received Best PhD Thesis Awards from IIT, IGS, INAE etc. and several Masters thesis and many more are continuing. He serves as Associate Editor of ASCE International Journal of Geomechanics, Springer Journals like Indian Geotechncial Journal, INAE Letters and Journal of Institution of Engineers India - Series A. Also he is editorial board member and reviewer of several other reputed journals. Because of his outstanding research, teaching and development activities, he has received Best Teacher Award of IIT Bombay, Best Researcher Awards of IIT Bombay and from several other national and international professional bodies.

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Here are some popular coins that hold privacy in high regard:
First we have monero:
Monero is a secure, private, untraceable currency. It is open-source and freely available to all.
It uses a cryptographically sound system that allows you to send and receive funds without your transactions being publicly visible on the blockchain.
Next I would be remiss if I didn’t talk about zcash.
So Zcash is the first open, permissionless cryptocurrency that can fully protect the privacy of transactions using zero-knowledge cryptography. If Bitcoin is like http for money, Zcash is https—a secure transport layer
Zcash brings fungibility to cryptocurrency by unlinking shielded coins from their history on the blockchain.
There is also a coin called zclassic which is a fork of zcash that allocates all mining rewards directly to the miners, while with zcash, 20% of the rewards go to the founders for the first 4 years. However, zclassic does use the same trusted parameters as zcash. Zclassic believes in equity, no censorship and no governing body.
Let’s take a better look
Monero takes advantage of ring signatures, now according to their website, A ring signature is a type of group signature that makes use of your account keys and a number of public keys (also known as outputs) pulled from the blockchain using a triangular distribution method. Over the course of time, past outputs could be used multiple times to form possible signer participants. In a "ring" of possible signers, all ring members are equal and valid. There is no way an outside observer can tell which of the possible signers in a signature group belongs to your account. So, ring signatures ensure that transaction outputs are untraceable.
Zcash is pioneering the use of zero-knowledge proofs, applying cutting-edge cryptography to blockchain technology. Zero-knowledge proofs allow fully encrypted transactions to be confirmed as valid.
With Zcash, users can enjoy the advantages of using a public blockchain, while still being sure that their private information is protected.
Ethereum can take advantage of zero knowledge proofs or zk-SNARKs because Ethereum’s flexible smart contract interface enables a large variety of applications, many of which have probably not yet been conceived. The possibilities grow considerably when adding the capacity for privacy. Imagine, for example, an election or auction conducted on the blockchain via a smart contract such that the results can be verified by any observer of the blockchain, but the individual votes or bids are not revealed. Another possible scenario may involve selective disclosure where users would have the ability to prove they are in a certain city without disclosing their exact location. The key to adding such capabilities to Ethereum is zero-knowledge succinct non-interactive arguments of knowledge (zk-SNARKs) – precisely the cryptographic engine underlying Zcash.
Additional Information:
Monero https://getmonero.org/home
Ring signatures https://getmonero.org/knowledge-base/moneropedia/ringsignatures
Zcash https://z.cash/
Zclassic http://zclassic.org/
Ethereum & zk-SNARKs https://z.cash/blog/zksnarks-in-ethereum.html
More on Ethereum https://blog.ethereum.org/2017/01/19/update-integrating-zcash-ethereum/

Scott Aaronson, Associate Professor of Electrical Engineering and Computer Science at MIT, delivered his inaugural lecture entitled "Quantum Computing and the Limits of the Efficiently Computable".
Mr Aaronson discusses what can and can't be feasibly computed according to physical law. He argues that this is a fundamental question, not only for mathematics and computer science, but also for physics; and that the infeasibility of certain computational problems (such as NP-complete problems) could plausibly be taken as a physical principle, analogous to the Second Law or the impossibility of superluminal signalling.
He first explains the basics of computational complexity, including the infamous P versus NP problem and the Extended Church-Turing Thesis. Then he discusses quantum computers: what they are, whether they can be scalably built, and what's known today about their capabilities and limitations. Lastly, he touches on speculative models of computation that would go even beyond quantum computers, using (for example) closed timelike curves or nonlinearities in the Schrodinger equation.
Mr Aaronson emphasises that, even if "intractable" computations occur in a particular description of a physical system, what really matters is whether those computations have observable consequences.
Biography:
Scott Aaronson is an Associate Professor of Electrical Engineering and Computer Science at Massachusetts Institute of Technology (MIT). He received his PhD in computer science from University of California, Berkeley and did postdocs at the Institute for Advanced Study and the University of Waterloo.
Scott's research interests center around fundamental limits on what can efficiently be computed in the physical world. This has entailed studying quantum computing, the most powerful model of computation we have based on known physical theory.
He writes a blog (www.scottaaronson.com/blog), and is the creator of the Complexity Zoo (www.complexityzoo.com), an online encyclopedia of computational complexity theory. He was the recipient of NSF's Alan T Waterman Award for 2012.